Triple
T11795983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitra Region |
E280506
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Šaľa
Šaľa is a town in southwestern Slovakia known for its location on the Váh River and its role as a local industrial and transport center.
|
E947191
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Šaľa | Statement: [Nitra Region, hasCity, Šaľa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šaľa Context triple: [Nitra Region, hasCity, Šaľa]
-
A.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
B.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
C.
Ostredok
Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
-
D.
Znamianka
Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
-
E.
Šrobár
Šrobár is a Slovak surname most notably associated with Vavro Šrobár, a key Slovak politician and statesman involved in the formation of Czechoslovakia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Šaľa Triple: [Nitra Region, hasCity, Šaľa]
Generated description
Šaľa is a town in southwestern Slovakia known for its location on the Váh River and its role as a local industrial and transport center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Šaľa Target entity description: Šaľa is a town in southwestern Slovakia known for its location on the Váh River and its role as a local industrial and transport center.
-
A.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
B.
Ráckeve
Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
-
C.
Ostredok
Ostredok is the highest peak of the Veľká Fatra range in central Slovakia, known for its rounded grassy summit and panoramic views.
-
D.
Znamianka
Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
-
E.
Šrobár
Šrobár is a Slovak surname most notably associated with Vavro Šrobár, a key Slovak politician and statesman involved in the formation of Czechoslovakia.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a1cda0819092d66a82fd882786 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f130fd7b9881909e79ecb49fe98d30 |
completed | April 28, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69f141b1c50c819081a8055d951a49de |
completed | April 28, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14fcb63208190ad1185ad66314fa9 |
completed | April 29, 2026, 12:24 a.m. |
Created at: April 8, 2026, 9:42 p.m.